Data Science Readiness Assessment

TTEC Digital’s Data Science Readiness Assessment helps organizations advance from pilot ML/AI initiatives to robust, production-grade data science capabilities. During this two‑week engagement, our team evaluates your current data science posture, including tooling, model lifecycle, team skills, infrastructure, and governance. We analyze data sources and quality, development processes, deployment pipelines, monitoring, and compliance readiness.

Leveraging industry best practices and Azure-native approaches, we benchmark your maturity against key domains—data readiness, modeling, MLOps, collaboration, and performance. We also identify use cases that can be operationalized quickly and align them to your business goals. Through workshops with data scientists, engineers, and stakeholders, we define priorities and challenges.

The outcome is a comprehensive readiness report including maturity scores, model inventory, gap analysis, and actionable recommendations. Customers receive a roadmap to operationalize ML workflows—covering Azure ML, Databricks, CI/CD for models, monitoring, and governance frameworks—to help scale data science across the enterprise.